scholarly journals The Potential Role of the Artificial Intelligence in Combating Climate Change and Natural Resources Management: Political, Legal and Ethical Challenges

2021 ◽  
Vol 4 (3) ◽  
pp. 111-131
Author(s):  
Olena Lozo ◽  
Oleksii Onishchenko

The aim of the article is to study the role of artificial intelligence (AI) in solving current issues of climate change, environmental protection and natural resources management. The advantages and threats of using AI for the development of political and legal parameters for ensuring the safe and effective implementation of technological system, as well as ensuring sustainable control over its functioning and development trends, are analyzed. The relevance of the topic is substantiated by the fact that the legislative basis in this area is at the early stage of formation, while the scale of the impact of AI on all the aspects of social life may be impossible to accurately foresee. A special attention is paid to the analysis of the legal regulation of these issues in the context of European Union and Ukraine. The present work is one of the few that addresses three issues: climate change, the growing influence of artificial intelligence, and the possibility of legal regulation of the use of AI to solve urgent environmental problems without threatening the fundamental human rights and freedoms.

2010 ◽  
Vol 16 (3) ◽  
pp. 221
Author(s):  
David Goodall

This volume is the result of an initiative by the Natural Resources Management Ministerial Council, to assess the vulnerability of Australia?s biodiversity to climate change. It may be said at once that this remit is interpreted, not as referring to changes in ?biodiversity? as usually understood ? the number of species present ? but rather as covering all responses of organisms and the ecosystems in which they participate to the climate changes now in progress and in prospect. This extension of ?biodiversity? is clarified by the statement that ?modern biodiversity conservation . . . should ensure . . . the maintenance of ecological processes and the delivery of ecosystem services?.


Author(s):  
Pham Thu Thuy ◽  
Nguyen Dinh Tien ◽  
Nguyen Thuy Anh ◽  
Nguyen Van Anh ◽  
Dao Thi Linh Chi ◽  
...  

Sustainable finance is essential for the implementation of adaptation and mitigation policies on natural sources and climate change. However, global and domestic finance for sustainable natural resources and forest management has been scared and unable to meet the practical needs for the last decades. Identifying innovative financing mechanism for sustainable natural resources management and climate adaptation and mitigation has been considered by globally communities as well as Vietnamese government as an important priority. This paper analyses new and innovative financing mechanisms for 2021- 2050, that are being considered and developed by a large number of countries, discusses opportunities and constraints for translating these mechanisms to the ground, and proposes policy recommendations for Vietnam to better access to these new funding sources.


2012 ◽  
pp. 1566-1582 ◽  
Author(s):  
Diana F. Adamatti ◽  
Marilton S. de Aguiar

There are three computational challenges in natural resources management: data management and communication; data analysis; and optimization and control. The authors believe these three challenges can be dealt with Artificial Intelligence (AI) techniques, because they can manage dynamic activities in natural resources. There are several AI techniques such as Genetic Algorithms, Neural Networks, Multi-Agent Systems or Cellular Automata. In this chapter, the authors introduce some applications of Cellular Automata (CA) and Multi-Agent-Based Simulation (MABS) in natural resources management, because these are areas that the authors approach in their research and these areas can contribute to solve the three computational challenges. Specifically, the CA technique can face the challenge of data analysis because it can be extrapolated and new knowledge will be acquired from an area not known or experienced. Regarding the MABS technique, it can solve the challenge of optimization and control, because it works in an empiric way during the decision-making process, based on experiments and observations.


2020 ◽  
Vol 26 (118) ◽  
pp. 78-87
Author(s):  
Dikko Bello

An excellent reputation earned by initiating and practicing sustainable business practices has additional benefits, of which are reducing environmental incidents and an improvement in operational efficiency as this has the potential to help firms improve on productivity and bring down operating costs. Taken further, with ever-increasing socially and environmentally-conscious investors and the public alike, this act of natural resources management could have a significant implication on market value and income of the practicing firms. The above proposition has been supported by sustainable business practices literature that is continuously conversing and deliberating upon the impact of efficient resource deployment and sustainable business practices.  This paper aims to add value and contribute by offering inferences on cost reduction possibilities through improved natural resources management. Therefore it is an entirely conceptual level approach that provided potentially efficient tools for business sustainability and profitability


2021 ◽  
Vol 59 (spring 2021) ◽  
Author(s):  
Renata Rimsaite ◽  
Melissa Kreye

Extension professionals face challenges in quantifying the impact of their efforts in advancing the decision-making process inherent in setting natural resources policy. We developed a flexible tool that measures the impact of improving decision makers’ planning efforts. The tool consists of two sets of survey questions that can be modified to fit an Extension program’s goals. We illustrated how to use the tool by surveying leaders working with private forest owners to advance natural resources management. However, the tool can be of use to Extension professionals across various program areas.


Author(s):  
Diana F. Adamatti ◽  
Marilton S. de Aguiar

There are three computational challenges in natural resources management: data management and communication; data analysis; and optimization and control. The authors believe these three challenges can be dealt with Artificial Intelligence (AI) techniques, because they can manage dynamic activities in natural resources. There are several AI techniques such as Genetic Algorithms, Neural Networks, Multi-Agent Systems or Cellular Automata. In this chapter, the authors introduce some applications of Cellular Automata (CA) and Multi-Agent-Based Simulation (MABS) in natural resources management, because these are areas that the authors approach in their research and these areas can contribute to solve the three computational challenges. Specifically, the CA technique can face the challenge of data analysis because it can be extrapolated and new knowledge will be acquired from an area not known or experienced. Regarding the MABS technique, it can solve the challenge of optimization and control, because it works in an empiric way during the decision-making process, based on experiments and observations.


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